Vision Transformer and Multiview Classification for Lesion Detection in 3D Cranial Ultrasound

F Estermann, V Kaftandjian, P Guy… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
With increasing advances in the field of medical brain imaging, we can now assess the
presence of punctate white matter lesions (PWML) in the preterm infant. While some studies …

Pwml detection in 3d cranial ultrasound volumes using over-segmentation and multimodal classification with deep learning

F Estermann, V Kaftandjian, P Guy… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Punctate white matter lesions (PWML) are the most common white matter injuries observed
in preterm neonates. Automatic detection of these lesions could better assist doctors in …

Priority U-net: detection of punctuate white matter lesions in preterm neonate in 3D cranial ultrasonography priority u-Net for detection of pwml in preterm 3d cranial …

P Erbacher, C Lartizien, M Martin, PF Pimenta… - Medical Imaging with …, 2020 - hal.science
About 18-35% of the preterm infants suffer from punctuate white matter lesion (PWML).
Accurately assessing the volume and localisation of these lesions at the early postnatal …

[HTML][HTML] White matter injury detection based on preterm infant cranial ultrasound images

J Zhu, S Yao, Z Yao, J Yu, Z Qian, P Chen - Frontiers in Pediatrics, 2023 - frontiersin.org
Introduction White matter injury (WMI) is now the major disease that seriously affects the
quality of life of preterm infants and causes cerebral palsy of children, which also causes …

Automatic detection of punctate white matter lesions in infants using deep learning of composite images from two cases

X Sun, T Niwa, T Okazaki, S Kameda, S Shibukawa… - Scientific Reports, 2023 - nature.com
Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental
outcomes based on the location or number of lesions. This study aimed to assess the …

Automatic segmentation of diffuse white matter abnormality on T2-weighted brain MR images using deep learning in very preterm infants

H Li, M Chen, J Wang, VSP Illapani… - Radiology: Artificial …, 2021 - pubs.rsna.org
About 50%–80% of very preterm infants (VPIs)(≤ 32 weeks gestational age) exhibit diffuse
white matter abnormality (DWMA) on their MR images at term-equivalent age. It remains …

Automatic Detection of Neonatal Brain Injury on MRI

R Macleod, J O'Muircheartaigh, AD Edwards… - Medical Ultrasound, and …, 2020 - Springer
Identification of neonatal brain abnormalities on MRI requires expert knowledge of both
brain development and pathologies particular to this age group. To aid this process we …

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning

JD Raad, RB Chinnam, S Arslanturk, S Tan… - Scientific Reports, 2023 - nature.com
Abstract Analysis of 3D medical imaging data has been a large topic of focus in the area of
Machine Learning/Artificial Intelligence, though little work has been done in algorithmic …

VP-Nets: Efficient automatic localization of key brain structures in 3D fetal neurosonography

R Huang, W Xie, JA Noble - Medical image analysis, 2018 - Elsevier
Abstract Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral
abnormalities and to assess growth in the developing brain. However, manual identification …

Cranial localization in 2D cranial ultrasound images using deep neural networks

PR Tabrizi, A Mansoor, R Obeid… - Medical Imaging …, 2019 - spiedigitallibrary.org
Premature neonates with intraventricular hemorrhage (IVH) followed by post hemorrhagic
hydrocephalus (PHH) are at high risk for morbidity and mortality. Cranial ultrasound (CUS) is …